I'm looking for bibliography w.r.t. mode of Dirichlet distribution.
I checked some books, but I couldn't find any description about the mode.
So, if you know some better books and let me know that, ...

I need to calculate PDFs of mixture of Dirichlet distribution in python. But for each mixture component there is the normalizing constant, which is the inverse beta function which has gamma function ...

I want to run an estimation assuming that my variables are distributed according to the Dirichlet distribution. To do so, I need to use the cdf function. For all the distributions in R, there are the ...

Can someone please explain working with a Dirichlet distribution in PyMC (with a working example) ?
I realize it is trivial but I am not able to find trace of all the components. Is there any way out ...

Fellows,
I am beginner in topic modeling. I am using topic models package in R. The function call is LDA(data, k).
I want to know what alpha and beta values are used? Also, which inference algorithm ...

I would like to build a Bayesian network of discrete (pymc.Categorical) variables that are dependent on other categorical variables.
As a simplest example, suppose variables a and b are categorical ...

I've been working on Latent Dirchlet Allocation for 2 weeks and I'm trying to build a dictionary and a train file to try it. I've already tried it with Matlab and gcc by using the Blei's train file, ...

When dealing with Dirichlet Processes, according to [Teh, 2007], a DP is defined as by a base Probability H and a scale factor "alpha"
According to the Stick Breaking Construction, the random draws G ...